Packed Column Simulations
Abstract
CO2 Capture CFD (C3FD) dataset contains STAR-CCM+ simulations of a CO2-capturing solvent flowing across packing structures in a column. This dataset contains 50 2D and 50 3D simulations, each of which spans 500 timesteps. The 2D and 3D simulation meshes have 150,073 and 3,129,815 nodes, respectively. Each node contains information about its physical location, liquid volume fraction, momentum, and node type.
- Authors:
-
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); PNNL
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Publication Date:
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- 20 FOSSIL-FUELED POWER PLANTS
- OSTI Identifier:
- 1963908
- DOI:
- https://doi.org/10.25584/1963908
Citation Formats
Fu, Yucheng, Bao, Jie, Singh, Rajesh K, Zeng, Chao, and Xu, Zhijie. Packed Column Simulations. United States: N. p., 2023.
Web. doi:10.25584/1963908.
Fu, Yucheng, Bao, Jie, Singh, Rajesh K, Zeng, Chao, & Xu, Zhijie. Packed Column Simulations. United States. doi:https://doi.org/10.25584/1963908
Fu, Yucheng, Bao, Jie, Singh, Rajesh K, Zeng, Chao, and Xu, Zhijie. 2023.
"Packed Column Simulations". United States. doi:https://doi.org/10.25584/1963908. https://www.osti.gov/servlets/purl/1963908. Pub date:Mon Mar 20 00:00:00 EDT 2023
@article{osti_1963908,
title = {Packed Column Simulations},
author = {Fu, Yucheng and Bao, Jie and Singh, Rajesh K and Zeng, Chao and Xu, Zhijie},
abstractNote = {CO2 Capture CFD (C3FD) dataset contains STAR-CCM+ simulations of a CO2-capturing solvent flowing across packing structures in a column. This dataset contains 50 2D and 50 3D simulations, each of which spans 500 timesteps. The 2D and 3D simulation meshes have 150,073 and 3,129,815 nodes, respectively. Each node contains information about its physical location, liquid volume fraction, momentum, and node type.},
doi = {10.25584/1963908},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Mar 20 00:00:00 EDT 2023},
month = {Mon Mar 20 00:00:00 EDT 2023}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
